class EntityRulerApproach extends AnnotatorApproach[EntityRulerModel] with HasStorage
Fits an Annotator to match exact strings or regex patterns provided in a file against a Document and assigns them an named entity. The definitions can contain any number of named entities.
There are multiple ways and formats to set the extraction resource. It is possible to set it
either as a "JSON", "JSONL" or "CSV" file. A path to the file needs to be provided to
setPatternsResource. The file format needs to be set as the "format" field in the option
parameter map and depending on the file type, additional parameters might need to be set.
If the file is in a JSON format, then the rule definitions need to be given in a list with the fields "id", "label" and "patterns":
 [
  {
    "id": "person-regex",
    "label": "PERSON",
    "patterns": ["\\w+\\s\\w+", "\\w+-\\w+"]
  },
  {
    "id": "locations-words",
    "label": "LOCATION",
    "patterns": ["Winterfell"]
  }
]The same fields also apply to a file in the JSONL format:
{"id": "names-with-j", "label": "PERSON", "patterns": ["Jon", "John", "John Snow"]}
{"id": "names-with-s", "label": "PERSON", "patterns": ["Stark", "Snow"]}
{"id": "names-with-e", "label": "PERSON", "patterns": ["Eddard", "Eddard Stark"]}In order to use a CSV file, an additional parameter "delimiter" needs to be set. In this case,
the delimiter might be set by using .setPatternsResource("patterns.csv", ReadAs.TEXT,
Map("format"->"csv", "delimiter" -> "\\|"))
PERSON|Jon PERSON|John PERSON|John Snow LOCATION|Winterfell
Example
In this example, the entities file as the form of
PERSON|Jon PERSON|John PERSON|John Snow LOCATION|Winterfell
where each line represents an entity and the associated string delimited by "|".
import spark.implicits._ import com.johnsnowlabs.nlp.base.DocumentAssembler import com.johnsnowlabs.nlp.annotators.Tokenizer import com.johnsnowlabs.nlp.annotators.er.EntityRulerApproach import com.johnsnowlabs.nlp.util.io.ReadAs import org.apache.spark.ml.Pipeline val documentAssembler = new DocumentAssembler() .setInputCol("text") .setOutputCol("document") val tokenizer = new Tokenizer() .setInputCols("document") .setOutputCol("token") val entityRuler = new EntityRulerApproach() .setInputCols("document", "token") .setOutputCol("entities") .setPatternsResource( path = "src/test/resources/entity-ruler/patterns.csv", readAs = ReadAs.TEXT, options = Map("format" -> "csv", "delimiter" -> "\\|") ) val pipeline = new Pipeline().setStages(Array( documentAssembler, tokenizer, entityRuler )) val data = Seq("Jon Snow wants to be lord of Winterfell.").toDF("text") val result = pipeline.fit(data).transform(data) result.selectExpr("explode(entities)").show(false) +--------------------------------------------------------------------+ |col | +--------------------------------------------------------------------+ |[chunk, 0, 2, Jon, [entity -> PERSON, sentence -> 0], []] | |[chunk, 29, 38, Winterfell, [entity -> LOCATION, sentence -> 0], []]| +--------------------------------------------------------------------+
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Input annotator types: DOCUMENT, TOKEN
Input annotator types: DOCUMENT, TOKEN
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columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
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Output annotator types: CHUNK
Output annotator types: CHUNK
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Resource in JSON or CSV format to map entities to patterns (Default:
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        setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): EntityRulerApproach.this.type
      
      
      
- Attributes
 - protected
 - Definition Classes
 - HasFeatures
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): EntityRulerApproach.this.type
      
      
      
- Attributes
 - protected
 - Definition Classes
 - HasFeatures
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): EntityRulerApproach.this.type
      
      
      
- Attributes
 - protected
 - Definition Classes
 - HasFeatures
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        setDefault(paramPairs: ParamPair[_]*): EntityRulerApproach.this.type
      
      
      
- Attributes
 - protected
 - Definition Classes
 - Params
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        setDefault[T](param: Param[T], value: T): EntityRulerApproach.this.type
      
      
      
- Attributes
 - protected[org.apache.spark.ml]
 - Definition Classes
 - Params
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setEnableInMemoryStorage(value: Boolean): EntityRulerApproach.this.type
      
      
      
- Definition Classes
 - HasStorageOptions
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setIncludeStorage(value: Boolean): EntityRulerApproach.this.type
      
      
      
- Definition Classes
 - HasStorageOptions
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        setInputCols(value: String*): EntityRulerApproach.this.type
      
      
      
- Definition Classes
 - HasInputAnnotationCols
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setInputCols(value: Array[String]): EntityRulerApproach.this.type
      
      
      
Overrides required annotators column if different than default
Overrides required annotators column if different than default
- Definition Classes
 - HasInputAnnotationCols
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setLazyAnnotator(value: Boolean): EntityRulerApproach.this.type
      
      
      
- Definition Classes
 - CanBeLazy
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        setOutputCol(value: String): EntityRulerApproach.this.type
      
      
      
Overrides annotation column name when transforming
Overrides annotation column name when transforming
- Definition Classes
 - HasOutputAnnotationCol
 
 -  def setPatternsResource(path: String, readAs: Format, options: Map[String, String] = Map("format" -> "JSON")): EntityRulerApproach.this.type
 -  def setSentenceMatch(value: Boolean): EntityRulerApproach.this.type
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setStoragePath(path: String, readAs: util.io.ReadAs.Value): EntityRulerApproach.this.type
      
      
      
- Definition Classes
 - HasStorage
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setStoragePath(path: String, readAs: String): EntityRulerApproach.this.type
      
      
      
- Definition Classes
 - HasStorage
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        setStorageRef(value: String): EntityRulerApproach.this.type
      
      
      
- Definition Classes
 - HasStorageRef
 
 -  def setUseStorage(value: Boolean): EntityRulerApproach.this.type
 - 
      
      
      
        
      
    
      
        
        val
      
      
        storagePath: ExternalResourceParam
      
      
      
Path to the external resource.
Path to the external resource.
- Definition Classes
 - HasStorage
 
 - 
      
      
      
        
      
    
      
        
        val
      
      
        storageRef: Param[String]
      
      
      
Unique identifier for storage (Default:
this.uid)Unique identifier for storage (Default:
this.uid)- Definition Classes
 - HasStorageRef
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        synchronized[T0](arg0: ⇒ T0): T0
      
      
      
- Definition Classes
 - AnyRef
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        toString(): String
      
      
      
- Definition Classes
 - Identifiable → AnyRef → Any
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): EntityRulerModel
      
      
      
- Definition Classes
 - EntityRulerApproach → AnnotatorApproach
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        transformSchema(schema: StructType): StructType
      
      
      
requirement for pipeline transformation validation.
requirement for pipeline transformation validation. It is called on fit()
- Definition Classes
 - AnnotatorApproach → PipelineStage
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        transformSchema(schema: StructType, logging: Boolean): StructType
      
      
      
- Attributes
 - protected
 - Definition Classes
 - PipelineStage
 - Annotations
 - @DeveloperApi()
 
 - 
      
      
      
        
      
    
      
        
        val
      
      
        uid: String
      
      
      
- Definition Classes
 - EntityRulerApproach → Identifiable
 
 - 
      
      
      
        
      
    
      
        
        val
      
      
        useStorage: BooleanParam
      
      
      
Whether to use RocksDB storage to serialize patterns (Default:
true). - 
      
      
      
        
      
    
      
        
        def
      
      
        validate(schema: StructType): Boolean
      
      
      
takes a Dataset and checks to see if all the required annotation types are present.
takes a Dataset and checks to see if all the required annotation types are present.
- schema
 to be validated
- returns
 True if all the required types are present, else false
- Attributes
 - protected
 - Definition Classes
 - AnnotatorApproach
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        validateStorageRef(dataset: Dataset[_], inputCols: Array[String], annotatorType: String): Unit
      
      
      
- Definition Classes
 - HasStorageRef
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        wait(): Unit
      
      
      
- Definition Classes
 - AnyRef
 - Annotations
 - @throws( ... )
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        wait(arg0: Long, arg1: Int): Unit
      
      
      
- Definition Classes
 - AnyRef
 - Annotations
 - @throws( ... )
 
 - 
      
      
      
        
      
    
      
        final 
        def
      
      
        wait(arg0: Long): Unit
      
      
      
- Definition Classes
 - AnyRef
 - Annotations
 - @throws( ... ) @native()
 
 - 
      
      
      
        
      
    
      
        
        def
      
      
        write: MLWriter
      
      
      
- Definition Classes
 - ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable
 
 
Inherited from HasStorage
Inherited from HasCaseSensitiveProperties
Inherited from HasStorageOptions
Inherited from HasStorageRef
Inherited from ParamsAndFeaturesWritable
Inherited from HasFeatures
Inherited from AnnotatorApproach[EntityRulerModel]
Inherited from CanBeLazy
Inherited from DefaultParamsWritable
Inherited from MLWritable
Inherited from HasOutputAnnotatorType
Inherited from HasOutputAnnotationCol
Inherited from HasInputAnnotationCols
Inherited from Estimator[EntityRulerModel]
Inherited from PipelineStage
Inherited from Logging
Inherited from Params
Inherited from Serializable
Inherited from Serializable
Inherited from Identifiable
Inherited from AnyRef
Inherited from Any
Parameters
A list of (hyper-)parameter keys this annotator can take. Users can set and get the parameter values through setters and getters, respectively.
Annotator types
Required input and expected output annotator types